Do Hedge Funds Undertake Activism in the Bond Market? Evidence from Bondholders' Responses to Delay in Financial Reporting*
Bibliographic record
Abstract
ABSTRACT We investigate whether hedge funds (HFs) undertake activism in the corporate bond market. Although there is a growing empirical literature investigating HF activism in the equity market, we know little about the role of HF activists in the corporate bond market. The empirical setting is the active enforcement of bondholders' rights during 2003–2007, triggered by issuers' violation of a standard bond covenant requiring timely financial reporting. Using HF holding data of convertible bonds in Form 13F filings, we identify HF interventions. The patterns of HF ownership suggest that HFs actively purchased convertible bonds to increase their ownership before the issuance of default notices. Relative to other interventions, HF interventions are more likely to target companies with higher levels of cash holdings but less likely to target companies with a greater amount of private debt outstanding. Furthermore, we find that HF interventions are associated with elevated bond trading frequency before late filing notifications and issuances of default notices, as well as a wealth transfer from stockholders and non‐intervening bondholders to intervening bondholders. Taken together, the empirical evidence demonstrates that HFs take actions to force the issuance of default notices in response to delay in financial reporting, suggesting that the primary objective of HF activism in this setting is to extract short‐term profit from bond issuers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".